CellWindX: Marker Gene Analysis and Visualization for Single-Cell Data
Provides a 'Seurat'-compatible toolkit for marker gene identification,
expression summarization, and visualization of annotated single-cell
transcriptomic data. 'CellWindX' identifies top cell-type-enriched markers,
calculates marker expression percentages and average expression values across
cell groups, and generates publication-oriented dimensional reduction plots,
marker heatmaps, and gene-level radar plots. The package includes built-in
aesthetic palettes and supports both exploratory analysis and downstream figure
preparation for single-cell atlas studies. The workflow is designed to
complement single-cell analysis frameworks such as 'Seurat' described by
Satija et al. (2015) <doi:10.1038/nbt.3192> and Hao et al. (2021)
<doi:10.1016/j.cell.2021.04.048>, as well as heatmap visualization methods
implemented in 'ComplexHeatmap' described by Gu et al. (2016)
<doi:10.1093/bioinformatics/btw313>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
circlize, ComplexHeatmap, dplyr, ggplot2, grDevices, grid, Matrix, patchwork, Seurat, tidyr, stats |
| Suggests: |
SeuratObject |
| Published: |
2026-05-27 |
| DOI: |
10.32614/CRAN.package.CellWindX (may not be active yet) |
| Author: |
Xiaofeng Yang [aut, cre] (affiliation: Chongqing Medical University),
Shan Li [aut] (affiliation: Chongqing Medical University) |
| Maintainer: |
Xiaofeng Yang <Youngxf02 at 163.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
CellWindX results |
Documentation:
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